Whenever computer scientists are dealing with problems consisting of multiple self-interested agents, we may face to strategic behavior which might deteriorate the quality of the solution. Game theory provides us many tools to analyse agents' strategic behaviour, and concepts to incentivise them to behave according to the common interest. Those tools and concepts have been utilized to design, for example, efficient markets, voting rules and exchange mechanisms that incentivise agents to collaborate in order to achieve socially desirable outcomes. Furthermore, game theory has recently attracted more attention from computer scientists who have been interested in the computational tractability of those concepts when the number of agents is large. Now, more and more of these concepts can be applied to real-world applications including e-commerce, matching, cost-sharing, and ride-sharing, just to name a few. However, deploying innovative applications has been challenged by many issues raising from the real-world environments such as bounded rationality and collusions. The aim of this workshop is to bring together people working on different fields and to present/discuss their original researches on practical applications of algorithmic game theory to sustainable development.